The State of AI Red Teaming in 2025
As we enter 2025, AI red teaming has evolved from a niche academic pursuit into a professional discipline with dedicated teams, commercial tools, and regulatory attention. This post surveys where the field stands and where it is heading.
The Attack Surface Has Exploded
The most significant development of the past year has been the explosion of agentic AI. Models are no longer just generating text — they are executing code, browsing the web, managing files, sending emails, and coordinating with other agents. Each capability is a new attack vector.
Key Trends
1. Agent and MCP Exploitation
The Model Context Protocol (MCP) and similar tool-use standards have created a standardized attack surface. Red teamers are discovering that tool abuse, memory poisoning, and inter-agent injection represent the next frontier of AI exploitation.
2. Indirect Injection at Scale
Indirect prompt injection — planting payloads in data sources that AI systems consume — has moved from theoretical to practical. As more organizations deploy RAG systems and browsing agents, the number of exploitable data sources has grown enormously.
3. Safety Alignment Arms Race
Jailbreak techniques and safety training are locked in an escalating arms race. Techniques like many-shot jailbreaking, crescendo attacks, and gradient-optimized adversarial suffixes have pushed model providers to invest heavily in alignment. Each round of improvements is met with new bypass techniques.
4. Regulatory and Standards Development
The EU AI Act, NIST AI RMF, and OWASP Top 10 for LLM Applications have established regulatory and industry frameworks that require AI security assessment. Organizations are now required — not just encouraged — to conduct AI red teaming.
5. Tooling Maturation
Open-source tools like Garak, PyRIT, and Promptfoo have matured into production-quality frameworks. Continuous Automated Red Teaming (CART) pipelines are becoming standard practice for organizations with deployed AI systems.
What Is Still Missing
Despite progress, significant gaps remain:
- No comprehensive defense against prompt injection — The fundamental architectural vulnerability remains unsolved
- Limited multi-agent security research — Most research focuses on single-agent scenarios
- Insufficient supply chain security — Model supply chain attacks receive far less attention than model-level attacks
- No standardized severity scoring — The AI security community lacks an equivalent to CVSS for AI vulnerabilities
Looking Ahead
The remainder of 2025 will likely see:
- Increased sophistication in agent exploitation as agentic deployments scale
- New attack categories targeting multi-modal models (vision, audio, video)
- Growing demand for professional AI red teaming services
- Regulatory enforcement driving adoption of security assessment standards
The field is young, the attack surface is growing, and the demand for skilled AI red teamers has never been higher. Whether you are a seasoned security professional expanding into AI or a researcher entering the field for the first time, there has never been a better time to build these skills.